An algorithm to minimize errors in displacement measurements via double integration of noisy acceleration signals

Ribeiro, José Geraldo Telles; Castro, Jaime Tupiassú Pinho de; Meggiolaro, Marco Antônio

doi:10.1007/s40430-021-03097-z

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…This becomes a noise minimisation problem, that is, selecting appropriate accelerometers to reduce noise in acceleration signals, though still filtering the signals to remove a reduced amount of noise. While seeking to minimize errors in calculated displacements for the FFT-DDI method, the authors in Ribeiro et al [24] acknowledged that where their error estimation approach does not work, improved hardware with lower noise could be a solution.…”

Section: Improved Hardware In Displacement Estimationmentioning

confidence: 99%

A Robust Approach to Calculating Bridge Displacements from Unfiltered Accelerations for Highway and Railway Bridges

Bunce¹,

Hester²,

Taylor³

et al. 2023

Preprint

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Section: Improved Hardware In Displacement Estimationmentioning

confidence: 99%

A Robust Approach to Calculating Bridge Displacements from Unfiltered Accelerations for Highway and Railway Bridges

Bunce¹,

Hester²,

Taylor³

et al. 2023

Preprint

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“…Taking data from a stationary accelerometer and feeding it through whatever processing is going to be used to give displacement will show the best results in calculating displacement error, in the presence of no acceleration. Ribeiro et al present a very interesting analysis of double integration of acceleration to give displacement with the best accuracy [17], but ultimately the assumption of identically, independently distributed acceleration error with a normal distribution does not apply to accelerations gathered on railways. When an accelerometer moves, additional sources of error are introduced because of nonlinearity in the accelerometer (such as rectification error).…”

Section: Introductionmentioning

confidence: 99%

Experiences Using MEMS Accelerometers on Railway Bearers at Switches and Crossings to Obtain Displacement—Awkward Situations

Shih,

Weston,

Entezami

et al. 2024

Infrastructures

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A sleeper, or more generally a “bearer”, moves vertically under a passing train load. The extent of this motion depends on the static and dynamic load of the train, the train speed, and the support conditions at the bearer and its neighbours. Excessive motion, typically from voiding see-sawing, low support stiffness or possibly excessive stiffness, or even too little stiffness, are all of interest to maintainers. Typically, problems arise around transition zones, switches and crossings, but plain track with poor support can also be a problem. Within the last decade, low-cost micro-electro-mechanical system (MEMS) accelerometers have been used to capture the time history of vertical motion for use in condition monitoring. Existing condition monitoring systems often overlook or sometimes even ignore the possibility of problematic data, which seem to be common in monitored locations. It is essential to understand whether such “bad” data require further attention. Three problematic sites are presented, focussing on examples where the acceleration was higher than expected or the computed displacement was not as expected. Potential causes include wheel defects, hammering of the ballast by a hanging bearer, or high acceleration at some structural resonant frequency. The present paper aims to show the challenges of using MEMS accelerometers to collect data for condition monitoring and offers insights into the sort of problematic data that may be collected from real sites.

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Dynamic and quasi static stiffness characterization of a lamination stack of an electric motor

Szabó,

Vehovszky,

Gazdagh

2024

Heliyon

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An algorithm to minimize errors in displacement measurements via double integration of noisy acceleration signals

Cited by 8 publications

References 23 publications

A Robust Approach to Calculating Bridge Displacements from Unfiltered Accelerations for Highway and Railway Bridges

A Robust Approach to Calculating Bridge Displacements from Unfiltered Accelerations for Highway and Railway Bridges

Experiences Using MEMS Accelerometers on Railway Bearers at Switches and Crossings to Obtain Displacement—Awkward Situations

Dynamic and quasi static stiffness characterization of a lamination stack of an electric motor

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